Telegram RegisterThe public register of Telegram

Channel

Телеграм Чуприцких

@chupritski

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,433subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001945084521
TypeChannel
Username@chupritski
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/chupritski

Growth

2,4332,4362,434.57 August 2026 — 2,436 subscribers7 August 2026 — 2,436 subscribers10 August 2026 — 2,433 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net -3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,433–2,436 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 21:382,433-3
7 Aug 2026, 11:342,436no change
7 Aug 2026, 01:312,436first reading

Engagement

20 posts held, back to 3 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.40%
avg views ÷ 2,433 subscribers
Avg views / post
156
13 posts measured
Reaction rate
7.65%
reactions ÷ views · ER floor
Posts in window
13
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held20 (3 July 20265 August 2026)
Views total2,025
Reactions total155
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:30 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

242 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 32.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7832.2%
👍6828.1%
4116.9%
🤣156.20%
💯135.37%
😁135.37%
👀83.31%
🤔41.65%
20.826%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 242reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 3 July 2026 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

5 Aug 2026, 05:15 UTC85 views9 reactionsread 7 August 2026
Photo

Kimi 3: как мы хотели приручить лучшую открытую модель и чуть не купили электростанцию В конце прошлого месяца Moonshot выкатили Kimi 3. И пока все обсуждают бенчмарки, меня зацепило другое: это самая мощная модель, которую можно развернуть локально. Вообще. Звучит заманчиво: вся мощь ИИ внутри контура компании, никаких утечек. Но инженер внутри меня сразу спросил: «И во что это встанет?» Спойлер — вам не понравитс

🔥52👍2

Signed Чуприцкий Алексей CPO Interstorm.ru

4 Aug 2026, 05:20 UTC103 views16 reactionsread 7 August 2026
Photo

Как мы скормили нейросети $1,8 млн за задачу для стажёра Знаете, что я люблю в ИИ больше всего? Его способность превращать простое в великое. Иногда — слишком великое. Особенно когда приходит счёт. Наткнулся на историю из внутренней кухни Amazon. Задача — проще некуда: взять имя автора и сопоставить с информацией о его книгах. Тривиальная операция, которую мы, наивные, привыкли делать в Excel. Но это же Amazon. Он

👍103🔥3

Signed Чуприцкий Алексей CPO Interstorm.ru

3 Aug 2026, 05:15 UTC109 views12 reactionsread 7 August 2026
Photo

#анекдотнапланёрку Помните, что быстро + эффективно , требует серьёзных изменений! Всем хорошей недели! 👍 @chupritski 👍

🔥82😁2

Signed Чуприцкий Алексей CPO Interstorm.ru

31 Jul 2026, 05:51 UTC154 views8 reactionsread 7 August 2026
Photo

Неравенство, языки и невидимые деньги Вчера разбирали мифы об ИИ. Сегодня — жёсткая часть. То, что ATLAS v1.0 говорит о деньгах, доступе и скрытой экономике. Зарплаты и «вымывание середины» Связь почти механическая: рост зарплаты профессии на 1% — рост использования ИИ на 2.5%. Медианный пользователь зарабатывает $83 000, на $20 000 выше национальной медианы США. Казалось бы, богатые богатеют. Но есть нюанс, котор

👍42🔥2

Signed Чуприцкий Алексей CPO Interstorm.ru

30 Jul 2026, 05:34 UTC151 views15 reactionsread 7 August 2026
Photo

Мифы, в которые мы зря верили Google выкатил AI & Economy ATLAS v1.0. 15 миллионов реальных диалогов с Gemini, 150 стран, 800+ профессий. Меня такое подкупает: не опросы «как вы думаете», а следы реального поведения. Давайте пройдёмся по трём мифам, которые этот массив данных приземляет довольно жёстко. Миф №1: «ИИ сидит в офисах айтишников» Ага, конечно. 68% детальных профессий уже используют ИИ. Фермеры, лесничи

🔥7👍53

Signed Чуприцкий Алексей CPO Interstorm.ru

29 Jul 2026, 05:25 UTC136 views11 reactionsread 7 August 2026
Photo

Экзамен, который ИИ провалил (и это хорошие новости) Знаете это чувство, когда очередной техно-евангелист обещает, что завтра нейросеть уволит весь ваш отдел? Я научился относиться к этому как к прогнозу погоды: слушаю, киваю и беру с собой зонт. А теперь серьёзно. Пока одни рисуют апокалипсис рынка труда, учёные из Беркли провели работу над ошибками за всех хайпожоров. Они устроили ИИ-моделям то, что назвали «Посл

👍6🔥31👀1

Signed Чуприцкий Алексей CPO Interstorm.ru

28 Jul 2026, 05:46 UTC153 views9 reactionsread 7 August 2026
Photo

Сингулярность переносится На прошлой неделе мои новостные ленты натурально сошли с ума. «ИИ сбежал», «Атака на Hugging Face», «Мы все умрём». Я читал это и думал: ребята, вы серьёзно или просто людей пугаете? Давайте спокойно, по-взрослому без кликбейта. Что случилось на самом деле Есть такой бенчмарк ExploitGym — экзамен для моделей на умение находить уязвимости. Модели дали задание: пройди тест. И она начала про

👀32👍2🔥2

Signed Чуприцкий Алексей CPO Interstorm.ru

27 Jul 2026, 05:12 UTC172 views11 reactionsread 7 August 2026
Photo

#анекдотнапланёрку Не так страшен ИИ, как им пугают! Всем хорошей недели! 👍 @chupritski 👍

😁72🔥2

Signed Чуприцкий Алексей CPO Interstorm.ru

23 Jul 2026, 05:20 UTC229 views13 reactionsread 7 August 2026
Photo

Мы обязательно перегоним Америку, если сначала догоним Зимбабве, эту фразу приписывают Маяковскому, держу её в голове, пока читаю две новости. Новость №1. Наши горизонты. Урал готовится к прорыву: к 2030 году мощности ЦОД вырастут в 3–4 раза, достигнут 500 МВт, и войдёт в топ-3 регионов страны. Красиво. Но есть нюанс: 38 дата-центров из 128 анонсированных уже отложены. 168,6 млрд рублей инвестиций — на паузе. Ждут,

🔥6👍43

Signed Чуприцкий Алексей CPO Interstorm.ru

22 Jul 2026, 05:15 UTC206 views14 reactionsread 7 August 2026
Photo

Бесплатно, без VPN и пока без жадности Китайцы из Qwen (да, это Alibaba) выкатили модель генерации картинок 3.0. Давайте без маркетинговых заклинаний. Что мы имеем: — Прошлая версия была пятой в мировых бенчмарках. Эта, судя по тестам, может обогнать даже GPT Image 2. Не уверен, что GPT об этом знает, но звучит внушительно. — Память на промт выросла с ~1 000 до 4 500 токенов. В переводе с IT-диалекта: модель тепе

6🔥5👍3

Signed Чуприцкий Алексей CPO Interstorm.ru

21 Jul 2026, 05:17 UTC163 views10 reactionsread 7 August 2026
Photo

Греф, Яндекс и полтысячи процентов На прошлой неделе я рассказывал вам про «скрепные» модели и наш закон об ИИ. Казалось, большая игра начнётся ближе к осени. Но Герман Греф ждать не стал. 17 июля на Совете Федерации он рубанул прямым текстом: Сегодня у нас в стране осталась полностью разрабатываемая российской компанией только одна фундаментальная модель, это „Сбер“. Компания „Яндекс“ сегодня дообучает Qwen. В ос

👍53🔥2

Signed Чуприцкий Алексей CPO Interstorm.ru

20 Jul 2026, 05:27 UTC155 views14 reactionsread 7 August 2026
Photo

#анекдотнапланёрку Чем больше наворотов и усложнений, тем больше мест где может сломаться. Поэтому, без необходимости, лучше не усложнять. Всем хорошей недели! 👍 @chupritski 👍

💯6🔥6👍2

Signed Чуприцкий Алексей CPO Interstorm.ru

Showing the 12 most recent of 20 posts we hold for @chupritski. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 582,480 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Телеграм Чуприцких” (@chupritski), 2,433 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/chupritski.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.